Research
ML Applications
Probing Embedding Spaces in Deep Neural Networks
December 6, 2020
Abstract
We demonstrate an interactive UI to explore neural embedding spaces by probing directions in these spaces, determined by component analysis such as PCA and ICA. It provides (1) Fluid overview+detail exploration of these directions with multi-modal viewers to inspect individual samples including images, audio clips, words, and sample attributes, (2) A dedicated view to analyze the development of embedding spaces over multiple layers, and (3) A dedicated view to compare the embedding spaces across different models.
AUTHORS
Written by
Junior Rojas
Bilal Alsallakh
Edward Wang
Sara Zhang
Jonathan Reynolds
Vivek Miglani
Carlos Araya
Tony Chu
Orion Reblitz-Richardson
Research Topics
Machine learning
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